Ross Wolf
5fcece8416
Co-Authored-By: Brent Murphy <56412096+bm11100@users.noreply.github.com> Co-Authored-By: Craig Chamberlain <randomuserid@users.noreply.github.com> Co-Authored-By: David French <56409778+threat-punter@users.noreply.github.com> Co-Authored-By: Derek Ditch <dcode@users.noreply.github.com> Co-Authored-By: Justin Ibarra <brokensound77@users.noreply.github.com>
38 lines
1.9 KiB
TOML
38 lines
1.9 KiB
TOML
[metadata]
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creation_date = "2020/03/25"
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ecs_version = ["1.5.0"]
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maturity = "production"
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updated_date = "2020/03/25"
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[rule]
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anomaly_threshold = 50
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author = ["Elastic"]
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description = """
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Searches for rare processes running on multiple Linux hosts in an entire fleet or network. This reduces the detection of
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false positives since automated maintenance processes usually only run occasionally on a single machine but are common
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to all or many hosts in a fleet.
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"""
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false_positives = [
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"""
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A newly installed program or one that runs rarely as part of a monthly or quarterly workflow could trigger this
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signal.
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""",
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]
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from = "now-45m"
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interval = "15m"
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license = "Elastic License"
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machine_learning_job_id = "linux_anomalous_process_all_hosts_ecs"
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name = "Anomalous Process For a Linux Population"
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note = """### Investigating an Unusual Linux Process ###
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Signals from this rule indicate the presence of a Linux process that is rare and unusual for all of the monitored Linux hosts for which Auditbeat data is available. Here are some possible avenues of investigation:
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- Consider the user as identified by the username field. Is this program part of an expected workflow for the user who ran this program on this host?
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- Examine the history of execution. If this process manifested only very recently, it might be part of a new software package. If it has a consistent cadence - for example if it runs monthly or quarterly - it might be part of a monthly or quarterly business process.
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- Examine the process arguments, title and working directory. These may provide indications as to the source of the program or the nature of the tasks it is performing."""
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references = ["https://www.elastic.co/guide/en/siem/guide/current/prebuilt-ml-jobs.html"]
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risk_score = 21
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rule_id = "647fc812-7996-4795-8869-9c4ea595fe88"
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severity = "low"
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tags = ["Elastic", "Linux", "ML"]
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type = "machine_learning"
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